types of tests Flashcards

1
Q

Parametric testing

A

when data is normally distributed.

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2
Q

non-parametric testing

A

when data is not normally distributed.

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3
Q

Nominal scale

A

simplest. lowest level of measure. classification.

male/female… blood types… etc.

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4
Q

Ordinal Scales

A

rank ordering. intervales may not be constant.

what is pain on scale 1-5… course evals…MMT…etc.

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5
Q

interval scales

A

relative comparison
rank order of ordinal scale with equal distances between values.
(i.e., Temp in C or F)

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6
Q

Ratio scales

A

absolute comparison. interval scale with an absolute zero. Permits all statistical analysis. no negative values.
(i.e., ROM, height, weight, force.. etc.)

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7
Q

unpaired t-test

A

a parametric test. comparing 2 independent groups.

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8
Q

paired t-test

A

a parametric test. comparing 2 related scores

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9
Q

One way ANOVA (F test)

A

a parametric test. comparing 3 or more independent groups.

finding a difference.

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10
Q

One-way repeated ANOVA (F test)

A

a parametric test. comparing 3 or more related scores.

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11
Q

Mann-Whitney U test

A

a non-parametric (unpaired t-test equivalence) test. comparing 2 independent groups.

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12
Q

Sign test.

Wilcoxon signed-ranks test (T)

A

a non-parametric (paired t-test equivalence) test. comparing 2 related scores.

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13
Q

Kruskal-Wallis analysis of variance by ranks (H or X^2)

A

a non-parametric (one-way ANOVA equal) test. comparing 3 or more independent groups.

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14
Q

Friedman two-way analysis of variance by ranks (X^2 r)

A

a non-parametric (1-way repeated ANOVA equal) test. comparing 3 or more related scores.

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15
Q

2-way ANOVA

A

has 2 Independent variables.

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16
Q

Multivariate ANOVA (MANOVA)

A

has multiple independent variables and multiple dependent variables.

17
Q

Post-hoc tests

A

A study that has already determined there is a significant difference between groups and now wants to determine which groups are different.

18
Q

Pearson Product-Moment

A

is for interval or ratio scale correlation stats.

finding a relationship. Is x related to y.

19
Q

Spearman Rank

A

RANK in name.. rank is ordinal!
for ordinal scale correlation stats. Example pain scales or MMT

Finding a relationship. is x related to y.

20
Q

Chi square

A

finds association. If blank is associated with blank.

21
Q

Goodness of fit (chi square)

A

examines if observed freq is different from expected.

if stat > crit then reject null

22
Q

Test of independence (chi square)

A

examines association (or lack of) between 2 categorical variables (ordinal or nominal).

df= (R-1)(C-1)
*rows and columns